Architecte de données senior | Senior data architect, Professional Services
6 days ago
Vous êtes passionné par l’idée d’aider les entreprises internationales à tirer une valeur commerciale de l’analyse des données? Vous avez de l’expérience en matière d’entreposage de données et de traitement de données distribuées? Vous aimez résoudre des problèmes complexes de données à grande échelle et mener des projets à fort impact en utilisant les technologies les plus récentes?
Chez Amazon Web Services (AWS), nous travaillons en partenariat avec des entreprises pour créer des plateformes de données de pointe sur le Nuage AWS. En tirant parti des dernières technologies, nous traitons et stockons des volumes de données massifs pour relever un large éventail de défis. Les services professionnels AWS collaborent avec les clients pour répondre à leurs besoins commerciaux grâce à des solutions d’analyse de données sur mesure.
Au sein de l’équipe des services professionnels AWS, vous rejoindrez un groupe orienté client et axé sur l’activation des données. Si vous avez de l’expérience dans la création de plateformes de données et que vous aimez travailler sur des projets novateurs et à fort impact, nous serions ravis de vous compter parmi nous. Vous travaillerez avec d’excellents collègues pour examiner en profondeur les données, effectuer des analyses, découvrir les causes profondes et concevoir des solutions à long terme.
Are you passionate about helping global enterprises unlock business value through data analytics? Do you have experience in data warehousing and distributed data processing? Do you thrive on solving complex, large-scale data challenges and leading high-impact projects using the latest technologies?
At Amazon Web Services (AWS), we partner with enterprises to build cutting-edge data platforms on the AWS Cloud. By leveraging the latest technologies, we process and store massive data volumes to tackle a wide range of challenges. AWS Professional Services collaborates with customers to address their business needs with tailored data analytics solutions.
As part of our AWS Professional Services team, you’ll join a customer-obsessed group focused on data enablement. If you have experience building data platforms and enjoy working on innovative, high-impact projects, we’d love to have you on board. You’ll work with great teammates to dive deep into data, perform analyses, identify root causes, and design long-term solutions.
Key job responsibilities
- Diriger des projets d’architecture de données complets, depuis la compréhension des besoins de l’entreprise jusqu’à la fourniture de solutions évolutives et optimisées permettant d’améliorer les résultats opérationnels.
- Concevoir et mettre en œuvre des stratégies qui soutiennent des plateformes de données performantes, fiables et sécurisées.
- Collaborer avec des équipes interfonctionnelles pour préparer, analyser et mettre en œuvre des pipelines de données et des architectures pour des environnements distribués à grande échelle.
- Moderniser et faire migrer les infrastructures de données existantes, en assurant une intégration harmonieuse avec les objectifs de l’entreprise.
- Conseiller les clients sur les stratégies de données modernes et les meilleures pratiques architecturales, en fournissant des informations exploitables et des solutions à long terme.
- Collaborer avec les intervenants pour définir une vision et une feuille de route axées sur les données qui soutiennent leurs objectifs d’entreprise.
- Encadrer et guider les débutants au sein de l’équipe afin qu’ils acquièrent une expertise en matière d’architecture de données et qu’ils adoptent les bonnes pratiques.
- Veiller au respect des normes sectorielles et des normes en matière de sécurité et de gouvernance tout en alignant les solutions de données sur les stratégies de l’entreprise.
- Lead end-to-end data architecture projects, from understanding business needs to delivering scalable, optimized solutions that drive business outcomes.
- Design and implement strategies that support high-performance, reliable, and secure data platforms.
- Collaborate with cross-functional teams to prepare, analyze, and operationalize data pipelines and architectures for large-scale, distributed environments.
- Modernize and migrate existing data infrastructures, ensuring seamless integration with business objectives.
- Advise customers on modern data strategies and architectural best practices, providing actionable insights and long-term solutions.
- Engage with stakeholders to define a data-driven vision and roadmap that supports their enterprise goals.
- Mentor and guide junior team members to develop expertise in data architecture and best practices.
- Ensure compliance with industry standards, security, and governance while aligning data solutions with business strategies.
About The Team
À propos d'AWS (English description to follow)
Des expériences diverses
AWS accorde une grande importance à la diversité des expériences. Même si vous ne répondez pas à toutes les qualifications et compétences énumérées dans la description du poste, nous encourageons les candidats à postuler. Si votre carrière débute, si vous n'avez pas suivi un parcours traditionnel ou si vous avez des expériences alternatives, cela ne doit pas vous empêcher de postuler.
Pourquoi AWS ?
Amazon Web Services (AWS) est la plateforme infonuagique la plus complète et la plus amplement adoptée au monde. Nous avons été les pionniers de l'informatique infonuagique et n'avons jamais cessé d'innover. C'est pourquoi nos clients, des startups les plus prospères jusqu’aux entreprises du Fortune 500, font confiance à notre gamme de produits et de services pour faire avancer leurs entreprises.
Une culture d'équipe inclusive
Chez AWS, c’est dans notre nature d'apprendre et d'être curieux. Nos groupes d'affinité dirigés par nos employés favorisent une culture d'inclusion qui nous permet d'être fiers de nos différences. Des événements et des expériences d'apprentissage toujours en cours, notamment les conférences sur la race et l'ethnicité (CORE) et AmazeCon (diversité des genres), nous incitent à ne jamais cesser de valoriser nos différences.
Mentorat et développement de carrière
Nous élevons continuellement la barre de notre performance au plus haut, car nous nous efforçons de devenir le meilleur employeur de la planète. C'est ainsi que vous trouverez que nous avons de nombreuses ressources de partage de connaissances, de mentorat et d'autres ressources de développement de carrière pour vous aider à devenir un professionnel mieux équilibré.
L’équilibre entre vie professionnelle et vie privée
Nous accordons une grande importance à l'équilibre entre la vie professionnelle et la vie privée. La réussite professionnelle ne doit jamais croite en désavantagent la vie personnelle. C'est donc pour ça que la flexibilité d’horaires et de conditions de travail fait partie de notre culture. Lorsque nous nous sentons soutenus autant au travail qu’à la maison, il n'y a rien que nous ne puissions réaliser dans l’environnement de l’infonuagique.
About The Team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- Baccalauréat ou expérience équivalente en informatique, ingénierie, systèmes d’information ou dans un domaine connexe.
- Plus de 10 ans d’expérience dans le domaine de l’ingénierie des données ou des logiciels, avec une bonne compréhension du traitement des données distribuées.
- Plus de 10 ans d’expérience dans la conception et la création de solutions de données évolutives et hautement disponibles, y compris les pipelines ETL/ELT, la qualité des données et les processus de surveillance.
- Plus de 7 ans d’expérience dans les services de données et d’analytique basés sur le nuage.
- Maîtrise de SQL, Python et d’au moins un langage de programmation supplémentaire (p. ex. Java, Scala, JavaScript, TypeScript).
- Maîtrise du français et de l'anglais si vous êtes basé à Montréal
- Puisque ce rôle nécessite que l’employé interagisse avec d’autres entités d’Amazon à l’échelle mondiale ainsi qu’avec des employés et intervenants dans d’autres provinces canadiennes, la connaissance du français et de l’anglais est exigée pour ce poste si vous êtes basé à Montréal
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- Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or a related field.
- 10+ years of experience in data or software engineering, with a strong understanding of distributed data processing.
- 10+ years of experience designing and building scalable, highly available data solutions, including ETL/ELT pipelines, data quality, and monitoring processes.
- 7+ years of experience with cloud-based data and analytics services.
- Proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript).
- Fluent in French and English if based in Montreal
- Due to the nature of the role that requires interaction with other Amazon entities globally and with Amazon employees and stakeholders in other provinces in Canada, bilingualism French and English is required for this position if based in Montreal
- Expérience dans un rôle axé sur le client, idéalement dans le domaine du conseil, de la direction d’engagements techniques et de la traduction d’exigences commerciales en solutions de données évolutives. Influence démontrée sur la prise de décision de la haute direction (directeurs, cadres supérieurs et vice-présidents).
- Grande expérience des cadres distribués (p. ex. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, BD) et une solide compréhension de JVM ou des environnements d’exécution similaires.
- Expérience de la conception et de la mise en place de mécanismes de gouvernance et de protection des données.
- Expérience des pratiques MLOps, y compris le prétraitement des données, la sélection des caractéristiques, le déploiement, la surveillance et le réentraînement.
- Expérience de la création d’applications à l’aide d’outils et de technologies d’IA générative (LLM, bases de données vectorielles, orchestrateurs tels que LangChain, ingénierie de requête).
- Connaissance des principes technologiques pour les applications de grande entreprise, y compris l’infrastructure, les applications d’affaires (Salesforce, SAP, etc.), la gestion des données, la sécurité et les technologies grand public.
- Expérience dans le développement d’infrastructures en tant que code (p. ex. CloudFormation, CDK, Terraform).
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- Experience in a customer-facing role, ideally in consulting, leading technical engagements, and translating business requirements into scalable data solutions. Proven record of impact with senior leadership (director, c-level and VP) decision making.
- Strong experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and a solid understanding of JVM or similar runtime.
- Experience designing and building data governance and data protection mechanisms
- Experience with MLOps practices, including data preprocessing, feature selection, deployment, monitoring, and retraining.
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)
- Knowledge of technology principles for large enterprise applications, including infrastructure, business apps (Salesforce, SAP, etc.), data management, security, and consumer tech.
- Experience developing Infrastructure as Code (e.g., CloudFormation, CDK, Terraform)
Amazon s’engage à créer un milieu de travail diversifié et inclusif. Amazon est un employeur qui offre à tous les mêmes opportunités et ne fait pas de discrimination fondée sur la race, l’origine nationale, le sexe, l’identité sexuelle, l’orientation sexuelle, le statut d’ancien combattant protégé, le handicap, l’âge ou autres statuts protégés par la loi. Les personnes handicapées qui souhaitent présenter une demande d’accommodement, sont invitées à aviser leur recruteur.
The base salary for this position ranges from $126,000/year up to $210,400/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Company - Amazon Web Services Canada, Inc.
Job ID: A2809900
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